research IDENTIFICATION OF RELAY CELLS AND INTERNEURONS IN THE CUNEATE NUCLEUS
The cuneate nucleus has two main neuron types: relay neurons and interneurons.
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120-150 / 1000+ results research Engineered building bloks to print endogenous tissue and complex organs in vitro
New bio-ink can print complex tissues and organs.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Coupled 3D reconstruction of sparse facial hair and skin
The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
research An explorative study of the encoding/decoding model in respect to television news in Papua New Guinea
EMTV news harms nation-building in Papua New Guinea by promoting Western values and negative stories, creating a biased and divisive cultural image.
research The Intermediate Filament Architecture as Determined by X-Ray Diffraction Modeling of Hard α-Keratin
Hard α-keratin in hair has a unique, nonordered structure, different from other fibers.
research 4D polycarbonates via stereolithography as scaffolds for soft tissue repair
4D polycarbonate scaffolds show promise for soft tissue repair due to their biocompatibility, shape memory, and minimal immune response.
research Exploring the Chorioallantoic Membrane (CAM) as a Platform for Burn Wound Modelling and Analysis
The CAM is a useful model for studying burn wounds and testing treatments.
research Three-Dimensional Organoid System Transplantation Technologies in Future Treatment of Central Nervous System Diseases
Neural organoids show promise for future CNS disease treatments.
research PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models
PROMETHEUS helps organize and evaluate causal claims from large language models.
research A molecular systems architecture of the mesenchymal stromal cell microenvironment
A systems biology approach helps improve mesenchymal stromal cell therapies by mapping interactions and identifying treatment targets.
research Engineering Cell‐Derived Matrices: From 3D Models to Advanced Personalized Therapies
3D cell-derived matrices improve tissue regeneration and disease modeling.
research Abstracts of 28th Year Annual Meeting of Turkish Society of Neuroradiology with International Participation, Conrad Istanbul Bosphorus, Istanbul, Turkey, February 15-17, 2019
MRI helps distinguish between pituitary adenomas and craniopharyngiomas, guides treatment for pediatric CNS tumors, and assesses rhinocerebral mucormycosis with a high mortality rate in transplanted patients.
research Spatial and single-cell transcriptomics unravel the complex interplay between the body and medical implants
New technologies help us understand how the body reacts to medical implants, which can improve implant performance.
research Recent advances in cellulose nanocrystals-based sensors: A review
Cellulose nanocrystals are promising for making effective, sustainable sensors for various uses.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
research Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma
The research created a detailed map of skin cells, showing that certain cells in basal cell carcinoma may come from hair follicles and could help the cancer grow.
research CZAS TO SZTUCZNA INTELIGENCJA: OD TEORII DO ROZWIĄZAŃ RATUJĄCYCH ŻYCIE
AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.
research Common hair loss disorders.
Hair loss affects both genders and can impact well-being, with treatments available for various types.
research Alopecia in women.
Hair loss in women can be due to abnormal hair growth cycles or damaged hair follicles, with the most common type being androgenetic alopecia; treatment varies by cause, and the psychological impact is significant.
research Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.
research FoxN1 in K14 promoter-driven epithelium is required for generation and maintenance of 3D-thymus medulla and preventing nude phenotype in the skin (36.33)
FoxN1 gene is crucial for proper thymus structure and normal skin appearance.
research Multiscale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma
The research created a detailed map of skin cells, showing that certain cells in basal cell carcinoma may come from hair follicles and could help the cancer grow.
research Enhancing Low-Light Sports Motion Images with Improved Bilateral Filtering and Auto MSRCR
The method greatly improves low-light sports images' quality and reduces artifacts.
research Midline Convergence: Nature’s Way to Maximize the Appearance of Midline Density
Nature uses midline convergence to make the center of something look denser or thicker.
research A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research Histological study of an experimentally constructed decellularized rat lung as a model of whole organ three-dimensional natural scaffold
The experiment successfully created a 3D model of a rat lung using a natural scaffold.
research ZASTOSOWANIE SZTUCZNEJ INTELIGENCJI W ECHOGRAFII SERCOWEJ: KORZYŚCI I RYZYKO
AI in heart scans improves diagnosis and treatment but has risks like misdiagnosis and high costs.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.